NC State
Displaying works 1 - 20 of 36 in total
Sorted by most recent date added to the index first, which may not be the same as publication date order.
2016 chapter
Data-driven Domain Models for Problem Solving
In R. Sottilare, A. Graesser, X. Hu, A. Olney, B. Nye, & A. Sinatra (Eds.), Design Recommendations for Intelligent Tutoring Systems: Domain Modeling (Vol. 4). Orlando, Florida: Army Research Laboratory.
Ed(s): R. Sottilare, A. Graesser, X. Hu, A. Olney, B. Nye & A. Sinatra
2016 conference paper
Validating Game-based Measures of Implicit Science Learning
Educational Data Mining, 490–495.
Event: EDM2016 at Raleigh, NC
2016 conference paper
Exploring the Impact of Data-driven Tutoring Methods on Students' Demonstrative Knowledge in Logic Problem Solving Educational Data Mining (EDM2016)
Educational Data Mining, 460–465.
Event: EDM2016 at Raleigh, NC
2016 conference paper
The Impact of Granularity on the Effectiveness of Students' Pedagogical Decision
Presented at the Annual Meeting of the Cognitive Science Society (CogSci).
Event: Annual Meeting of the Cognitive Science Society (CogSci)
2016 conference paper
Generating Data-driven Hints for Open-ended Programming
Educational Data Mining, 191–198.
Event: EDM2016 at Raleigh, NC
2016 conference paper
MOOC Learning by Country and Culture; an Exploratory Analysis
Educational Data Mining, EDM2016, 127–134.
Event: EDM2016 at Raleigh, NC
2016 conference paper
Measuring Gameplay Affordances of User-Generated Content in and Educational Game
Presented at the International Conference on Educational Data Mining (EDM), Raleigh, North Carolina.
Event: International Conference on Educational Data Mining (EDM) at Raleigh, North Carolina on June 29 - July 2, 2016
2016 chapter
Intervention-BKT: Incorporating Instructional Interventions into Bayesian Knowledge Tracing
In Intelligent Tutoring Systems (pp. 208–218).
2016 journal article
Metaconceptually-enhanced simulation-based inquiry: effects on eighth grade students’ conceptual change and science epistemic beliefs
Educational Technology Research and Development, 65(1), 75–100.
2016 conference paper
Lessons Learned from "BJC" CS Principles Professional Development
Proceedings of the 47th ACM Technical Symposium on Computing Science Education - SIGCSE '16. Presented at the the 47th ACM Technical Symposium.
Event: the 47th ACM Technical Symposium
2016 conference paper
Developing a Rubric for a Creative CS Principles Lab
Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education - ITiCSE '16. Presented at the the 2016 ACM Conference.
Event: the 2016 ACM Conference
2016 journal article
Learn about broadening participation
ACM SIGCSE Bulletin, 48(3), 5–5.
2016 conference paper
Promoting computing faculty success through interinstitutional faculty learning communities
2016 Research on Equity and Sustained Participation in Engineering, Computing, and Technology (RESPECT 2016).
2016 article
Using Game Analytics to Evaluate Puzzle Design and Level Progression in a Serious Game
LAK '16 CONFERENCE PROCEEDINGS: THE SIXTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE, pp. 440–448.
2016 article
Evaluation of a Frame-based Programming Editor
PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INTERNATIONAL COMPUTING EDUCATION RESEARCH (ICER'16), pp. 33–42.
2016 article
Data-driven Proficiency Profiling - Proof of Concept
LAK '16 CONFERENCE PROCEEDINGS: THE SIXTH INTERNATIONAL LEARNING ANALYTICS & KNOWLEDGE CONFERENCE, pp. 324–328.
2016 article
Are Pedagogical Agents' External Regulation Effective in Fostering Learning with Intelligent Tutoring Systems?
INTELLIGENT TUTORING SYSTEMS, ITS 2016, Vol. 9684, pp. 197–207.
2016 conference paper
Using multi-channel data to assess, understand, and support affect and metacognition with intelligent tutoring systems
Intelligent tutoring systems, its 2016, 0684, 543–544.
2016 conference paper
Using eye-tracking to determine the impact of prior knowledge on self-regulated learning with an adaptive hypermedia-learning environment
Intelligent tutoring systems, its 2016, 0684, 34–47.
2016 article
Using Multi-level Modeling with Eye-Tracking Data to Predict Metacognitive Monitoring and Self-regulated Learning with CRYSTAL ISLAND
INTELLIGENT TUTORING SYSTEMS, ITS 2016, Vol. 9684, pp. 240–246.